Co-occurring keywords · papers mentioning both
Papers
Bayesian Posterior Approximation via Greedy Particle Optimization
AAAI 2019
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models
ICML 2019
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
ICML 2019
Self-Adversarially Learned Bayesian Sampling
AAAI 2019
Stein Variational Gradient Descent With Matrix-Valued Kernels
NeurIPS 2019
A Stein variational Newton method
NeurIPS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making
AISTATS 2018
Message Passing Stein Variational Gradient Descent
ICML 2018
Stein Variational Gradient Descent as Moment Matching
NeurIPS 2018
Stein Variational Gradient Descent Without Gradient
ICML 2018
Stein Variational Message Passing for Continuous Graphical Models
ICML 2018
Stein Variational Gradient Descent as Gradient Flow
NeurIPS 2017
VAE Learning via Stein Variational Gradient Descent
NeurIPS 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
NeurIPS 2016